scholarly journals Developing GIS Database for Support Fire Prevent and Fighting in Govap District – Ho Chi Minh City Base on Network Analyst

2017 ◽  
Vol 33 (3) ◽  
Author(s):  
QUY BUI NGOC
Keyword(s):  
Network Analysis ◽  
Fire Protection ◽  
Ho Chi Minh City ◽  
Point Location ◽  
Fire Point ◽  
Network Analyst ◽  
Service Stations ◽  
Analysis System ◽  
Empirical Database ◽  
Fire Location

This paper refers to the study, using network analysis in developing a database to support the Fire prevent and fighting (FPF). The network analysis system will support the fire protection agencies determine the fire point location, find the optimal route to approach the fire location, find the location of water points near fire or define the scope of fire protection service stations, ... in order to maneuver planning when the problem occurred. Base on the analysis, we develop an empirical database in Go Vap District - Ho Chi Minh City and deployed some solutions to support the fire protection agencies.

scholarly journals Optimum Bridge Site Selection using Network Analysis Tool (Al Muwaffaqiyah Bridge in Iraq as A case Study)

2017 ◽  
Vol 26 (2) ◽  
pp. 70-86
Author(s):  
Abdulhaq Hadi Abed Ali
Keyword(s):  
Network Analysis ◽  
Site Selection ◽  
Traffic Congestion ◽  
Economic Feasibility ◽  
Analysis Tool ◽  
Bridge Site ◽  
Network Analyst ◽  
The City ◽  
Crossing Point

The main objective of this research is to select the best site for the establishment of  a new bridge on the Al Gharraf river within the limits of the Al Muwaffaqiyah region . Al Muwaffaqiyah region is located in Wasit province in Iraq. The study area is divided into multiple zones . Three alternatives are proposed to construct the bridge site. The best one is selected using network analyst tool of ArcGIS software depending on the largest number of routes passing between zones. The route link between both sides of Al Gharraf river in Al Muwaffaqiyah region is one of the important projects in the city. The project will provide a new crossing point on Al Gharraf river . The proposed route will contribute to reduce traffic congestion depending on the foundations of planning and traffic so that gives the desired result of this project in terms of the location and importance of economic feasibility.

Design of Network Analysis System Based on Stream Computing

2017 ◽  
Vol 14 (1) ◽  
pp. 64-68 ◽  
Author(s):  
Peng Shi ◽  
Li Li
Keyword(s):  
Network Analysis ◽  
Load Balancing ◽  
Data Processing ◽  
Real Time ◽  
Network Data ◽  
Stream Computing ◽  
Time Data ◽  
Real Time System ◽  
Real Time Data ◽  
Analysis System

The functions of the network analysis system include detection and analysis of network data stream. According to the results of the network analysis, we monitor the network accident and avoid the security risks. This can improve the network performance and increase the network availability. As the data flow in the network is constantly produced, the biggest characteristic of network analysis system is that it is a real-time system. Because of the high requirements of the network data analysis and network fault processing, the system requires very high processing efficiency of the real time data of network. Stream computing is a technique specifically for processing real-time data streams. Its idea is that the value of the data is reduced with the lapse of time, so as long as the data appearing, it must be processed as soon as possible. So we use the technology of stream computing to design network analysis system to meet the needs of real-time capability. Moreover, the stream computing framework has been widely welcomed in the field because of its good expansibility, ease of use and flexibility. In this paper, firstly, we introduce the characteristics of the data processing based on stream computing and the traditional data processing separately. We point out their difference and introduce the technique of stream computing. Then, we introduce the architecture of network analysis system designed base on the technique of stream computing. The architecture includes two main components that are logic processing layer and communication layer. We describe the characteristics of each component and functional characteristics in detail, and we introduce the system load balancing algorithm. Finally, by experiments, we verify the effectiveness of the system’s characteristics of dynamic expansion and load balancing.

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